samsung SM-X920
Geekbench AI Score
2472
Single Precision Score
2493
Half Precision Score
3574
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 05 2025 09:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X920 |
| Model ID | samsung SM-X920 |
| Motherboard | gts10uwifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 15.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1739
323.3 IPS |
|
|
Image Classification (HP)
|
100% |
1819
338.2 IPS |
|
|
Image Classification (Q)
|
100% |
2650
492.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2832
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3405
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3445
4.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
7036
8.34 IPS |
|
|
Object Detection (SP)
|
98% |
1704
135.6 IPS |
|
|
Object Detection (HP)
|
98% |
1828
145.4 IPS |
|
|
Object Detection (Q)
|
83% |
2386
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
3650
43.4 IPS |
|
|
Face Detection (Q)
|
95% |
5751
68.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3965
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3952
30.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5924
54.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8135
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8222
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15316
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3839
142.3 IPS |
|
|
Text Classification (SP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
849
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
1469
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2069
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (Q)
|
50% |
918
32.6 IPS |
